Applied Hydrometeorology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applied Hydrometeorology write by Pukhraj Rakhecha. This book was released on 2010-02-17. Applied Hydrometeorology available in PDF, EPUB and Kindle. Water is vital for life. Since the dawn of civilization, much effort has been made to harness sources of fresh water. Recent years have raised global awareness of the need for increasing demand of water worldwide, largely because of growing population, rising standard of living, higher demand for energy, and greater appreciation for environmental quality. As an example, the world population has increased threefold in the past five decades. In order to meet the rising water demand, water resources are being developed by building large dams, reservoirs, barrages and weirs across rivers worldwide. The guiding principle for water resources development has been to ensure adequate supply of water for agriculture, domestic use (including fine drinking water), waste disposal, industries, and energy production, with due attention to maintain the ecosystem functions. This development, however, depends on a holistic, cooperative and scientific approach. The basic inputs in the assessment of water resources for a given region are from hydrological data and the subject of hydrology forms the core in achieving sustainable development of water resources. Barring a few exceptions, hydrological data for most river basins are sparse and therefore it is difficult to comprehensively assess their water resources. The major source of water is rainfall which occurs as a result of condensation of atmospheric moisture governed by the science of meteorology.
Applied Hydrometeorology
Applied Hydrometeorology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applied Hydrometeorology write by Pukh Raj Rakhecha. This book was released on 2009. Applied Hydrometeorology available in PDF, EPUB and Kindle.
Applied Soil Hydrology
Applied Soil Hydrology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applied Soil Hydrology write by Viliam Novák. This book was released on 2018-10-24. Applied Soil Hydrology available in PDF, EPUB and Kindle. This state-of-the-art book clearly explains the basic principles of soil hydrology and the current knowledge in this field. It particularly highlights the estimation and application of measurements and evaluation of soil-hydrophysical characteristics using simulation models, with a focus on elucidating the basic hydrophysical characteristics of soil, such as soil water potential and hydraulic conductivity, as well as the methods of measurement. It also addresses topics such as stony soil, water repellent soils, and water movement modeling in those media. The book presents soil hydrology in a simple way, while quantitatively expressing the soil water state and movement. It clearly and precisely describes basic terms of soil hydrology with a minimum of mathematics. It also includes the latest research findings in the field as well as the basics of the mathematical modeling of water movement in the soil-plant-atmosphere system (SPAS), using original research results to illustrate these issues. This book is of interest to all scientists and professionals in soil hydrology, including beginners, as well as those interested and working in hydrology in general and soil hydrology in particular. In addition, it can also be used by specialists and students in related fields like agronomy, forestry, meteorology, hydrology, environmental engineering, environmental protection, and geography.
Hydrometeorology
Hydrometeorology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Hydrometeorology write by Kevin Sene. This book was released on 2009-12-12. Hydrometeorology available in PDF, EPUB and Kindle. This book describes recent developments in hydrometeorological forecasting techniques for a range of timescales, from short term to seasonal and longer terms. It conveniently brings together both meteorological and hydrological aspects in a single volume.
Deep Learning for Hydrometeorology and Environmental Science
Deep Learning for Hydrometeorology and Environmental Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Deep Learning for Hydrometeorology and Environmental Science write by Taesam Lee. This book was released on 2021-01-27. Deep Learning for Hydrometeorology and Environmental Science available in PDF, EPUB and Kindle. This book provides a step-by-step methodology and derivation of deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution Neural Network (CNN), especially for estimating parameters, with back-propagation as well as examples with real datasets of hydrometeorology (e.g. streamflow and temperature) and environmental science (e.g. water quality). Deep learning is known as part of machine learning methodology based on the artificial neural network. Increasing data availability and computing power enhance applications of deep learning to hydrometeorological and environmental fields. However, books that specifically focus on applications to these fields are limited. Most of deep learning books demonstrate theoretical backgrounds and mathematics. However, examples with real data and step-by-step explanations to understand the algorithms in hydrometeorology and environmental science are very rare. This book focuses on the explanation of deep learning techniques and their applications to hydrometeorological and environmental studies with real hydrological and environmental data. This book covers the major deep learning algorithms as Long Short-Term Memory (LSTM) and Convolution Neural Network (CNN) as well as the conventional artificial neural network model.
